TELEVISION IN LABORATORY GUIDANCE: PRACTICAL AND PHILOSOPHICAL BASES

At the University of Electro‐Communications instruction is given on fundamental electricity in accordance with the educational principles derived from the philosophy of ‘Zen’. On the technical side, CCTV interphones and other audio‐visual aids are employed. In particular, we have inaugurated a remote instruction method called ‘TV‐Interphone’, abbreviated to T.I. method, through which we give personal guidance to students in the conduct of their experiments. Data from the experiments are fed into a computer which was installed in the laboratory for control processing

Three courses are provided:

1. 1. Electrical Measurements and Characteristics of Analogue and Digital Circuits.

2. 2. Electrical Measurements and Characteristics of Advanced Analogue Circuits

3. 3. Design and Experiment

     

Activity of Prefrontal Cortex in Teachers and Students during Teaching of an Insight Problem

Metacognitive functions are important for both teachers and students to facilitate teaching and learning. The prefrontal cortex (PFC) plays a proven role in metacognition. As a pilot study, we evaluated the PFC activity of teachers and students using near‐infrared spectroscopy devices to explore the neural mechanism of PFC underlying metacognitive function during teaching and problem‐solving processes. In 14 student‐teacher pairs, participants in the teacher role gave hints via a tablet screen to facilitate solving of a tangram puzzle task by participants in the student role. The PFC activity of teachers increased after giving hints but not while planning hints. The PFC activity of students increased upon task solving after receiving hints. The PFC of teachers might play a metacognitive role in monitoring their own teaching results. The PFC activity of students might be related to the creativity process after gaining insights, as well as metacognitive process for monitoring their own behavior.     

Improvement of building field association term dictionary using passage retrieval

Field Association (FA) terms are a limited set of discriminating terms that can specify document fields. Document fields can be decided efficiently if there are many relevant FA terms in that documents. An earlier approach built FA terms dictionary using a WWW search engine, but there were irrelevant selected FA terms in that dictionary because that approach extracted FA terms from the whole documents. This paper proposes a new approach for extracting FA terms using passage (portions of a document text) technique rather than extracting them from the whole documents. This approach extracts FA terms more accurately than the earlier approach. The proposed approach is evaluated for 38,372 articles from the large tagged corpus. According to experimental results, it turns out that by using the new approach about 24% more relevant FA terms are appending to the earlier FA term dictionary and around 32% irrelevant FA terms are deleted. Moreover, precision and recall are achieved 98% and 94% respectively using the new approach.     

The origin of universal shadow education: what the supplemental education phenomenon tells us about the postmodern institution of education

Prodigious growth in out-of-school, private educational activities meant to supplement formal schooling is observed worldwide. Why has shadow education expanded, and what does it mean for the future of education in postmodern society? Illustrated by the historical development and recent changes in the Japanese shadow education industry, it is suggested that shadow education follows the institutional logic of formal education. And as this logic has become more homogenized and expansive globally, so have the forms and goals of shadow education. Because of its focus on learning and achievement, which are central to formal education, it is predicted that shadow education will be increasingly incorporated into the broader culture of education.     

University surroundings and infrastructures that are accessible and inclusive for all: listening to students with disabilities

The main topic of this article is architectural barriers and infrastructures as identified by university students with disabilities. The data presented is part of a much wider research project, sponsored by Spain’s Ministry of Economy and Competition. A biographical-narrative methodology was used for this study. The results presented have been classified based on one of five barrier types: urban (barriers that are outside the actual university campus), transport (public transportation and personal vehicles), building (obstacles inside university buildings), environmental (those elements within the classroom, including furniture, excessive noise or inadequate temperatures) and communication (these are divided into signposting and barriers when accessing information). Lastly, a variety of questions are considered in the conclusions which indicate that universities still need a certain degree of adaptation and readjustment to really be accessible and inclusive, in keeping with the principles of universal design.     

How narratives move your mind: A corpus of shared-character stories for connecting emotional flow and interestingness

Creativity is considered a human characteristic; creative endeavors, including automatic story generation, have been a major challenge for artificial intelligences. To understand how humans create and evaluate stories, we (1) construct a story dataset and (2) analyze the relationship between emotions and story interestingness. Given that understanding how to move readers emotionally is a crucial creative technique, we focus on the role of emotions in evaluating reader satisfaction. Although conventional research has highlighted emotions read from a text, we hypothesize that readers’ emotions do not necessarily coincide with those of the characters. The story dataset created for this study describes situations surrounding two characters. Crowdsourced volunteers label stories with the emotions of the two characters and those of readers; we then empirically analyze the relationship between emotions and interestingness. The results show that a story’s score has a stronger relationship to the readers’ emotions than the characters’ emotions.     

Dielectrophoretic cell trapping and parallel one-to-one fusion based on field constriction created by a micro-orifice array

Micro-orifice based cell fusion assures high-yield fusion without compromising the cell viability. This paper examines feasibility of a dielectrophoresis (DEP) assisted cell trapping method for parallel fusion with a micro-orifice array. The goal is to create viable fusants for studying postfusion cell behavior. We fabricated a microfluidic chip that contained a chamber and partition. The partition divided the chamber into two compartments and it had a number of embedded micro-orifices. The voltage applied to the electrodes located at each compartment generated an electric field distribution concentrating in micro-orifices. Cells introduced into each compartment moved toward the micro-orifice array by manipulation of hydrostatic pressure. DEP assisted trapping was used to keep the cells in micro-orifice and to establish cell to cell contact through orifice. By applying a pulse, cell fusion was initiated to form a neck between cells. The neck passing through the orifice resulted in immobilization of the fused cell pair at micro-orifice. After washing away the unfused cells, the chip was loaded to a microscope with stage top incubator for time lapse imaging of the selected fusants. The viable fusants were successfully generated by fusion of mouse fibroblast cells (L929). Time lapse observation of the fusants showed that fused cell pairs escaping from micro-orifice became one tetraploid cell. The generated tetraploid cells divided into three daughter cells. The fusants generated with a smaller micro-orifice (diameter∼2 μm) were kept immobilized at micro-orifice until cell division phase. After observation of two synchronized cell divisions, the fusant divided into four daughter cells. We conclude that the presented method of cell pairing and fusion is suitable for high-yield generation of viable fusants and furthermore, subsequent study of postfusion phenomena.     

Compression of double array structures for fixed length keywords

A trie is one of the data structures for keyword matching. It is used in natural language processing, IP address routing, and so on. It is represented by the matrix form, the link form, the double array, and LOUDS. The double array representation combines retrieval speed of the matrix form with compactness of the list form. LOUDS is a succinct data structure using bit-string. Retrieval speed of LOUDS is not faster than that of the double array, but its space usage is smaller. This paper proposes a compressed version of the double array by dividing the trie into multiple levels and removing the BASE array from the double array. Moreover, a retrieval algorithm and a construction algorithm are proposed. According to the presented experimental results for pseudo and real data sets, the retrieval speed of the presented method is almost the same as the double array, and its space usage is compressed to 66% comparing with LOUDS for a large set of keywords with fixed length.     

Context constraint disambiguation of word semantics by field association schemes

Word sense disambiguation is important in various aspects of natural language processing, including Internet search engines, machine translation, text mining, etc. However, the traditional methods using case frames are not effective for solving context ambiguities that requires information beyond sentences. This paper presents a new scheme for solving context ambiguities using a field association scheme. Generally, the scope of case frames is restricted to one sentence; however, the scope of the field association scheme can be applied to a set of sentences. In this paper, a formal disambiguation algorithm is proposed to control the scope for a set of variable number of sentences with ambiguities as well as solve ambiguities by calculating the weight of fields. In the experiments, 52 English and 20 Chinese words are disambiguated by using 104,532 Chinese and 38,372 English field association terms. The accuracy of the proposed field association scheme for context ambiguities is 65% higher than the case frame method. The proposed scheme shows better results than other three known methods, namely UNED-LS-U, IIT-2, and Relative-based in corpus SENSEVAL-2.